Daniel P. Heyman

About

Daniel P. Heyman is a scholar working on Management Information Systems, Computer Networks and Communications and Statistics and Probability. According to data from OpenAlex, Daniel P. Heyman has authored 68 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Management Information Systems, 30 papers in Computer Networks and Communications and 18 papers in Statistics and Probability. Recurrent topics in Daniel P. Heyman’s work include Advanced Queuing Theory Analysis (32 papers), Network Traffic and Congestion Control (18 papers) and Random Matrices and Applications (12 papers). Daniel P. Heyman is often cited by papers focused on Advanced Queuing Theory Analysis (32 papers), Network Traffic and Congestion Control (18 papers) and Random Matrices and Applications (12 papers). Daniel P. Heyman collaborates with scholars based in United States, Canada and Germany. Daniel P. Heyman's co-authors include T. V. Lakshman, Winfried K. Grassmann, Michael Taksar, A. Tabatabai, Ward Whitt, David M. Lucantoni, Shaler Stidham, Benjamin Avi-Itzhak, Bruce Hoadley and A. Elwalid and has published in prestigious journals such as Journal of the American Statistical Association, Management Science and Operations Research.

In The Last Decade

Co-authorship network of co-authors of Daniel P. Heyman i

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Fields of papers citing papers by Daniel P. Heyman

Since Specialization

EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Daniel P. Heyman. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Daniel P. Heyman may publish in the future.

Countries citing papers authored by Daniel P. Heyman

Since Specialization

Citations

This map shows the geographic impact of Daniel P. Heyman's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniel P. Heyman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel P. Heyman more than expected).

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